An Autonomous and Dynamic Coordination and Discovery Service for Wide-Area Peer-to-peer Publish/Subscribe

Industrial Internet of ings (IIoT) applications found in domains such as smart-grids, intelligent tranportation, manufacturing and healthcare systems, are distributed and mission-critical in nature. IIoT requires a scalable data sharing and dissemination platform that supports qulaity of service properties such as timeliness, resilience , and security. Although the Object Management Group (OMG)u0027s Data Distribution Service (DDS), which is a data-centric, peer-to-peer publish/subscribe standard supporting multiple QoS properties, is well-suited to meet the requirements of IIoT applications , the design of OMG DDS and current technology limitations constrains its use to local area networks only. Moreover, even though broker-based bridging services exist to interconnect isolated DDS networks, these solutions lack autonomous and dynamic coordination and discovery capabilities that are needed to bridge multiple, isolated networks on demand. To address these limitations , and enable a practical and readily deployable solution for IIoT, this paper presents PubSubCoord, which is an autonomous, coordination and discovery service for DDS endpoints operating over wide area networks (WANs). Empirical results evaluating the feasibility and performance of PubSubCoord are presented for (1) scalability of data dissemination and coordination, and (2) deadline-aware overlays employing conngurable QoS to provide low-latency data delivery for topics demanding strict service requirements.